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- Tasks: Join our team to train AI models and solve complex physics problems.
- Company: Innovative tech company focused on advancing AI through scientific research.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at $40+ per hour.
- Why this job: Make a real impact in AI development while working on exciting projects that challenge your intellect.
- Qualifications: Expertise in physics or related fields; Masters/PhD preferred but not mandatory.
- Other info: Payment via PayPal; available only to applicants in select countries.
The predicted salary is between 28800 - 48000 £ per year.
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
Read all the information about this opportunity carefully, then use the application button below to send your CV and application. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you\’ll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI technologies.
Responsibilities: Design and solve diverse coding problems used to train AI systems.
Write clear, high-quality code snippets and detailed explanations.
Evaluate AI-generated code for accuracy, performance, and clarity.
Provide feedback that directly shapes the next generation of AI models.
Qualifications: Fluency in English (native or bilingual level).
Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
A bachelor’s degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
Locations
Research Scientist employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Make sure to showcase your expertise in physics and any related fields during networking opportunities. Attend relevant conferences or webinars where you can meet professionals in AI and physics, as this could lead to valuable connections.
✨Tip Number 2
Engage with online communities and forums focused on AI and physics. Sharing your insights and asking questions can help you build a reputation in the field, making you more visible to potential employers like us.
✨Tip Number 3
Consider creating a portfolio that highlights your projects or research related to AI and physics. This can be a great way to demonstrate your skills and thought process to us during interviews.
✨Tip Number 4
Stay updated on the latest advancements in AI and physics by following relevant publications and influencers. This knowledge will not only prepare you for interviews but also show us your passion for the field.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Research Scientist position. Familiarise yourself with the specific skills needed, such as proficiency in mathematics and physics.
Tailor Your CV: Craft your CV to highlight relevant experience in physics or related fields. Emphasise any advanced degrees, research projects, or work that demonstrates your expertise in evaluating AI models and solving complex problems.
Write a Compelling Cover Letter: In your cover letter, express your passion for physics and AI. Discuss how your background aligns with the job requirements and provide examples of your problem-solving skills and attention to detail.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors, clarity, and ensure that all information is accurate. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Expertise
Make sure to highlight your advanced understanding of physics and any relevant qualifications, such as a Masters or PhD. Be prepared to discuss specific projects or research that demonstrate your expertise in the field.
✨Prepare for Technical Questions
Expect to face complex physics problems during the interview. Brush up on your problem-solving skills and be ready to explain your thought process clearly when evaluating AI outputs.
✨Demonstrate Attention to Detail
Since the role requires evaluating the quality of AI models, emphasise your detail-oriented nature. Provide examples from past experiences where your attention to detail made a significant impact on a project.
✨Familiarise Yourself with AI Concepts
Even if your primary focus is physics, having a basic understanding of AI and machine learning concepts will be beneficial. This knowledge can help you engage more effectively in discussions about training AI models.
